Alternatives and similar repositories for RegDiffusion:

Users that are interested in RegDiffusion are comparing it to the libraries listed below

• altoslabs / perturbench
  ☆23Updated 2 months ago
• pinellolab / EPInformer
  code to run EPInformer for gene expression prediction and gene-enhancer links prioritization
  ☆38Updated 4 months ago
• theislab / prophet
  ☆29Updated this week
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• Genentech / sVAE
  ☆58Updated last year
• BaiDing1234 / AttentionPert
  ☆14Updated 8 months ago
• const-ae / linear_perturbation_prediction-Paper
  ☆18Updated last month
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆30Updated last month
• theislab / scTab
  ☆57Updated 6 months ago
• jkobject / scPRINT
  single cell foundation model for Gene network inference and more
  ☆15Updated 6 months ago
• emmijokinen / TCRconv
  TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…
  ☆24Updated 2 years ago
• cantinilab / scPRINT
  single cell foundation model for Gene network inference and more
  ☆57Updated this week
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆33Updated 4 years ago
• vandijklab / CINEMA-OT
  ☆30Updated 4 months ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆51Updated 4 years ago
• MarioniLab / sagenet
  Spatial reconstruction of dissociated single-cell data
  ☆17Updated last year
• ekernf01 / perturbation_benchmarking
  Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.
  ☆17Updated last week
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆116Updated last month
• HantaoShu / DeepSEM
  ☆73Updated last year
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆67Updated 2 years ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆97Updated 7 months ago
• Genentech / decima
  Decima is a Python library to train sequence models on single-cell RNA-seq data.
  ☆24Updated this week
• johahi / borzoi-pytorch
  Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.
  ☆42Updated 2 months ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆58Updated 5 months ago
• shtoneyan / gopher
  Toolset for training quantitative sequence to function models.
  ☆23Updated last year
• azizilab / decipher
  A single-cell analysis toolkit to jointly analyze samples from distinct conditions
  ☆29Updated 6 months ago
• rorymaizels / velvetVAE
  Variational Estimation of Latent Velocity from Expression with Time-resolution
  ☆12Updated 9 months ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆56Updated 2 months ago
• theislab / DRVI
  Unsupervised Deep Disentangled Representation of Single-Cell Omics
  ☆38Updated last week
• decomverse / ACTIONet
  ACTIONet single-cell analysis framework
  ☆38Updated 6 months ago